Prosecution Insights
Last updated: October 04, 2026

Nuro Inc.

Technology areas: Networking & Security • Transportation, E-Commerce & Mechanical Systems

4 pending office actions • 4 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 10 patents granted in the last 365 days

Analysis

Nuro Inc. has 4 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. These matters are distributed across 4 distinct examiners and 4 distinct art units. The fact that the number of pending actions matches the number of distinct examiners indicates a diversified prosecution strategy where each matter is being handled by a different person.

The busiest examiner, RECEK, JASON D, is responsible for 1 pending office action. This figure shows that the workload is spread across the examiners. For the company, this means that prosecution outcomes are independent of one another, as each matter is being evaluated by a different individual. This lack of concentration reduces the impact of any single examiner's tendencies.

The presence of 4 distinct art units suggests that the company's technology is broad enough to trigger reviews from multiple specialized patent office divisions. Managing the pending office actions across this many art units requires a versatile approach to prosecution. The busiest examiner pending count of 1 further emphasizes the distributed nature of the current portfolio.

Written from this page's own data; every figure is computed from USPTO records and verified before publication.

Portfolio Summary

4
Total Pending OAs
3
Non-Final OAs
0
Final Rejections
1
Advisory / Quayle

Response Deadline Pressure

Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.

1
Overdue
0
Due this week
0
Due this month
0
Due in next 60 days
0
Due later

Case Difficulty Mix

Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.

1
Hard (25%)
3
Medium (75%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§103 only3 (75%)
Multi-statute (no §101)1 (25%)

Industry Mix

How the docket's pending cases split across USPTO tech-center bands.

0
Life Sciences
0% of docket
1
Information Tech
25% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
3
Mechanical / Eng
75% of docket
0
Business / Other
0% of docket

Time-on-OA Estimate

Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.

40 h
Manual time on pending OAs
8 h
Time saved (low, 20%)
14 h
Time saved (mid, 35%)
0.3 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
RECEK, JASON D 1 70.9% +22.4%
TROOST, AARON L 1 74.7% +10.5%
MIRZA, ADNAN M 1 84.6% +9.6%
VASQUEZ JR, ROBERT WILLIAM 1 9.5% +7.1%

Quick Wins (1)

Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.

App #TitleExaminerDue in
18476807 METHODS AND APPARATUS FOR DETECTING AND RESOLVING CONTEXT MAP INCONSISTENCIES FOR AUTONOMOUS VEHICLES MIRZA, ADNAN M —

Hard Cases (1)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.

App #TitleExaminerDue in
17462576 BEAM STEERING IN FREQUENCY-MODULATED CONTINUOUS WAVE (FMCW) LIDAR SYSTEMS VASQUEZ JR, ROBERT WILLIAM 237d overdue

Interview Candidates (2)

Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 2 ordered by deadline are shown.

App #TitleExaminerDue in
18778530 UNIFIED DATA TRAFFIC MANAGEMENT LAYER FOR AUTONOMOUS VEHICLE RECEK, JASON D —
18631694 METHODS AND APPARATUS FOR PROVIDING ASSISTANCE TO AN AUTONOMY SYSTEM USING A TELEOPERATIONS SYSTEM TROOST, AARON L —

Top Art Units

Art UnitApps
2445 1
3666 1
3667 1
3645 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
18778530 UNIFIED DATA TRAFFIC MANAGEMENT LAYER FOR AUTONOMOUS VEHICLE RECEK, JASON D 2445 §103 Non-Final OA — Pending Jul 19, 2024
18631694 METHODS AND APPARATUS FOR PROVIDING ASSISTANCE TO AN AUTONOMY SYSTEM USING A TELEOPERATIONS SYSTEM TROOST, AARON L 3666 §103 Non-Final OA — Pending Apr 10, 2024
18476807 METHODS AND APPARATUS FOR DETECTING AND RESOLVING CONTEXT MAP INCONSISTENCIES FOR AUTONOMOUS VEHICLES MIRZA, ADNAN M 3667 §103 Non-Final OA — Pending Sep 28, 2023
17462576 BEAM STEERING IN FREQUENCY-MODULATED CONTINUOUS WAVE (FMCW) LIDAR SYSTEMS VASQUEZ JR, ROBERT WILLIAM 3645 §102§103 Non-Final OA 237d overdue Pending Aug 31, 2021

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